[PDF.76rp] Computational Toxicology: Chapter 5. Integrated Systems Biology Approaches to Predicting Drug-Induced Liver Toxicity: A Dynamic Systems Model of Rat Liver ... Measurements to Predict In Vivo Toxicity
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Computational Toxicology: Chapter 5. Integrated Systems Biology Approaches to Predicting Drug-Induced Liver Toxicity: A Dynamic Systems Model of Rat Liver ... Measurements to Predict In Vivo Toxicity
Kalyanasundaram Subramanian
[PDF.iu84] Computational Toxicology: Chapter 5. Integrated Systems Biology Approaches to Predicting Drug-Induced Liver Toxicity: A Dynamic Systems Model of Rat Liver ... Measurements to Predict In Vivo Toxicity
Liver injury is the most common cause of post-marketing drug withdrawal. Predicting toxicity observed in the clinic, especially idiosyncratic toxicity, is extremely challenging. In this chapter we developed a predictive system that integrates different data types and provides insight into the mechanisms of drug-induced liver injury. This is a dynamic systems approach based on the mathematical modeling of the kinetics of metabolic pathways involved in liver homeostasis. D...
You can specify the type of files you want, for your gadget.Computational Toxicology: Chapter 5. Integrated Systems Biology Approaches to Predicting Drug-Induced Liver Toxicity: A Dynamic Systems Model of Rat Liver ... Measurements to Predict In Vivo Toxicity | Kalyanasundaram Subramanian. A good, fresh read, highly recommended.